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DBMS > etcd vs. gStore vs. InterSystems IRIS vs. Sadas Engine vs. Spark SQL

System Properties Comparison etcd vs. gStore vs. InterSystems IRIS vs. Sadas Engine vs. Spark SQL

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisongStore  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA distributed reliable key-value storeA native Graph DBMS to store and maintain very large RDF datasets.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilitySADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeGraph DBMS
RDF store
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
en.gstore.cnwww.intersystems.com/­products/­intersystems-iriswww.sadasengine.comspark.apache.org/­sql
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
en.gstore.cn/­#/­enDocsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperInterSystemsSADAS s.r.l.Apache Software Foundation
Initial release2016201820062014
Current release3.4, August 20191.2, November 20232023.3, June 20238.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDcommercialcommercial infofree trial version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++Scala
Server operating systemsFreeBSD
Linux
Windows infoexperimental
LinuxAIX
Linux
macOS
Ubuntu
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema supportdepending on used data modelyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnonoyesyesSQL-like DML and DDL statements
APIs and other access methodsgRPC
JSON over HTTP
HTTP API
SPARQL 1.1
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C++
Java
JavaScript (Node.js)
PHP
Python
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyesnono
Triggersyes, watching key changesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlnoUsers, roles and permissions, Role-Based Access Control (RBAC) supportedyesAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
etcdgStoreInterSystems IRISSadas EngineSpark SQL
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
etcdgStoreInterSystems IRISSadas EngineSpark SQL
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